Evidence map›Paper›PMID 37156472›Full record

Observational studyJournal of the American Medical Directors Association2023

Stronger Impact of COVID-19 in Nursing Homes of a French Region During the Second Pandemic Wave.

Muriel Rabilloud, Mad-Hélénie Elsensohn, Benjamin Riche, Nicolas Voirin, Thomas Bénet, Catherine Porcu, Jean Iwaz, Jean-François Étard, Philippe Vanhems, René Écochard

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Muriel RabilloudUniversité de Lyon, Lyon, France; Université Lyon 1, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France. Electronic address: muriel.rabilloud@chu-lyon.fr.
Mad-Hélénie ElsensohnUniversité de Lyon, Lyon, France; Université Lyon 1, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Benjamin RicheUniversité de Lyon, Lyon, France; Université Lyon 1, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Nicolas VoirinEpidemiology and Modelling in Infectious Diseases (EPIMOD), Dompierre-sur-Veyle, France.
Thomas BénetSanté Publique France, Auvergne-Rhône-Alpes Regional Office, Lyon, France.
Catherine PorcuService de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Jean IwazUniversité de Lyon, Lyon, France; Université Lyon 1, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Jean-François ÉtardTransVIHMI (Institut de Recherche pour le Développement, IRD, Institut National de la Santé et de la Recherche Médicale, INSERM, Université de Montpellier), Montpellier, France; EpiGreen, Paris, France.
Philippe VanhemsService d'Hygiène Hospitalière, Épidémiologie, Infectiovigilance et Prévention, Hospices Civils de Lyon, Lyon, France; CIRI - Centre International de Recherche en Infectiologie, Univ Lyon, Université Claude Bernard Lyon1, Inserm, U1111, CNRS, UMR5308, ENS Lyon, Lyon, France.
René ÉcochardUniversité de Lyon, Lyon, France; Université Lyon 1, Lyon, France; Équipe Biostatistique-Santé, Laboratoire de Biométrie et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France; Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.
Université Claude Bernard Lyon 1 · FRHospices Civils de Lyon · FRInserm · FRSanté Publique France · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesQuantify the effects of characteristics of nursing homes and their surroundings on the spread of COVID-19 outbreaks and assess the changes in resident protection between the first 2 waves (March 1 to July 31 and August 1 to December 31, 2020).

designAn observational study was carried out on data on COVID-19 outbreaks extracted from a database that monitored the spread of the virus in nursing homes. SETTING AND

participantsThe study concerned all 937 nursing homes with >10 beds in Auvergne-Rhône-Alpes region, France.

methodsThe rate of nursing homes with at least 1 outbreak and the cumulative number of deaths were modeled for each wave.

resultsDuring the second (vs the first wave), the proportion of nursing homes that reported at least 1 outbreak was higher (70% vs 56%) and the cumulative number of deaths more than twofold (3348 vs 1590). The outbreak rate was significantly lower in public hospital-associated nursing homes than in private for-profit ones. During the second wave, it was lower in public and private not-for-profit nursing homes than in private for-profit ones. During the first wave, the probability of outbreak and the mean number of deaths increased with the number of beds (P < .001). During the second wave, the probability of outbreak remained stable in >80-bed institutions and, under proportionality assumption, the mean number of deaths was less than expected in >100-bed institutions. The outbreak rate and the cumulative number of deaths increased significantly with the increase in the incidence of hospitalization for COVID-19 in the surrounding populations. CONCLUSIONS AND IMPLICATIONS: The outbreak in the nursing homes was stronger during the second than the first wave despite better preparedness and higher availabilities of tests and protective equipment. Solutions for insufficient staffing, inadequate rooming, and suboptimal functioning should be found before future epidemics.

Indexed as

COVID-19FranceHospitalizationHumansNursing HomesPandemicsCOVID-19disease outbreakmortalitynursing homepandemic

Identifiers

PMID37156472
PMCPMC10121131
OpenAlexW4366607333

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.